This municipality has experienced contour changes since 2013 :
01/07/2013 – La fusion de Wangenbourg-Engenthal avec Wangenbourg (67518) est transformé
en fusion simple.
In the case of a merger, when the geography of the source indicated under the table
/ graph is after the date of the merger, the data correspond to those of the new municipality.
tableauLOG T1 - Growth estimates of the number of housings by category since 1968
LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category
1968(*)
1975(*)
1982
1990
1999
2006
2011
2016
2022
Altogether
670
671
723
781
704
772
788
835
808
Principal residences
396
389
409
431
460
544
570
602
619
Second dwellings and occasional dwellings
242
258
286
317
237
201
169
197
135
Vacant accommodations
32
24
28
33
7
27
49
36
54
(*) 1967 and 1974 for the overseas departments
Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.
tableauLOG T1bis - Categories of housings
LOG T1bis - Categories of housings
Category of housing
2011
2016
2022
Principal residences
72,3
72,1
76,6
Second dwellings and occasional dwellings
21,4
23,6
16,7
Vacant dwellings
6,2
4,3
6,7
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T2 - Types of housings
LOG T2 - Types of housings
Type of housing
2011
%
2016
%
2022
%
Altogether
788
100,0
835
100,0
808
100,0
Houses
733
93,0
756
90,5
745
92,2
Flats
55
7,0
78
9,3
63
7,8
Others
0
0,0
1
0,1
0
0,0
Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au
01/01/2025.
tableauLOG T2bis - Contributions to the change in the number of principal residences
LOG T2bis - Contributions to the change in the number of principal residences
Contributions
2011-2016
%
2016-2022
%
Total change
32
4,1
17
2,0
due to the household size effect
29
3,7
30
3,6
due to the demographic effect
3
0,3
–13
–1,6
Note: The change in the number of households (and therefore in the number of main
residences) can be broken down into two effects: the "household size effect" and the
"demographic effect."
Indeed, a decrease in average household size leads to an increased housing need, even
if the population remains stable. The remaining part of the change is referred to
as the demographic effect.
These effects can be either positive or negative.
Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au
01/01/2025.
tableauLOG T3 - Principal residences by number of rooms
LOG T3 - Principal residences by number of rooms
Number of rooms
2011
%
2016
%
2022
%
Altogether
570
100,0
602
100,0
619
100,0
1 room
1
0,2
3
0,5
4
0,6
2 rooms
15
2,6
29
4,8
22
3,6
3 rooms
67
11,8
79
13,1
60
9,7
4 rooms
103
18,1
121
20,1
122
19,7
5 rooms or above
384
67,4
370
61,5
411
66,4
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T4 - Principal residences average number of rooms
LOG T4 - Principal residences average number of rooms
Type of main residence
2011
2016
2022
All main residences
5,2
5,0
5,2
House
5,3
5,1
5,3
Flat
3,5
3,0
3,3
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T4bis - Dwelling occupancy index
LOG T4bis - Dwelling occupancy index
Occupancy index
2011
2016
2022
Standard occupancy
4,9
10,8
6,5
Moderate over-occupation
0,7
1,7
0,0
Severe over-occupation
0,0
0,0
0,0
Moderate under-occupation
19,6
16,7
17,1
Severe under-occupation
25,2
25,8
22,8
Very severe under-occupation
49,7
45,0
53,7
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T5 - Principal residences in 2022 by completion period
LOG T5 - Principal residences in 2022 by completion period
Completion period
Number
%
Principal residences build before 2020
607
100,0
Before 1919
131
21,6
From 1919 to 1945
74
12,2
From 1946 to 1970
153
25,2
From 1971 to 1990
106
17,5
From 1991 to 2005
86
14,2
From 2006 to 2019
57
9,4
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
